Spectrum sharing for next generation wireless communication networks

Kumar, Sanjay; Costa, Gustavo Wagner Oliveira Da; Kant, Shashi; Frederiksen, Frank; Marchetti, Nicola; Mogensen, Preben

doi:10.1109/cogart.2008.4509982

Cited by 24 publications

(8 citation statements)

References 6 publications

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“…In [21], the author outlines the challenges associated with CR. They also investigates new technological solutions to facilitate the shared access to the spectrum among operators, inorder to ensure efficient spectrum utilization.…”

Section: Related Workmentioning

confidence: 99%

Dynamic spectrum sharing for heterogeneous wireless network via cognitive radio

Kaniezhil

Chandrasekar

Rekha

2012

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)

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The current utilization of the spectrum is quite inefficient; consequently, if properly used, there is no shortage of the spectrum that is presently available. Therefore, it is anticipated that more flexible use of spectrum and spectrum sharing between radio systems will be key enablers to facilitate the successful implementation of future systems. Cognitive radio, however, is known as the most intelligent and promising technique in solving the problem of spectrum sharing. In this paper, we consider the technique of spectrum sharing among users of service providers to share the licensed spectrum of licensed service providers. It is shown that the proposed technique reduces the call blocking rate and improves the spectrum utilization.

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Section: Related Workmentioning

confidence: 99%

Dynamic spectrum sharing for heterogeneous wireless network via cognitive radio

Kaniezhil

Chandrasekar

Rekha

2012

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012)

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“…Considering the scarcity of radio resource and the ease of deployment, co‐channel sharing would be more efficient and preferable for operators due to increased spectral efficiency through spectral frequency reuse. With this co‐channel sharing, the spectrum efficiency and network capacity can be enhanced 19‐24 . Therefore, this work considers the modified SSA and co‐channel spectrum sharing scheme for 5G/B5G HetNets.…”

Section: Introductionmentioning

confidence: 99%

Modeling and analyzing multi‐tier massive multiple‐input multiple‐output‐enabled heterogeneous networks with hybrid spectrum allocation for cluster‐center and cluster‐edge users

Jia

Chen

et al. 2020

Trans Emerging Tel Tech

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With the proliferation of high‐speed multi‐media applications and high‐dense Internet‐of‐Things devices, the future 5G/B5G networks will face the emergence of dense hotspot communications. A key consequence of such hotspots is the heterogeneity of base stations' deployment and the user base station (BS) coupling, where the user equipments (UEs) tend to form spatial clusters or hotspots. With these motivations, this article considers a realistic scenario for clustered heterogeneous networks, which consists of macro‐BSs (MBSs), pico‐BSs (PBSs), and femto‐BSs (FBSs). To restrict the severe interference from inter and intra‐tier transmitters, a clustered‐UEs classification is developed based on the coverage radius of PBSs. With the clustered‐UEs classification, this article develops a modified separated spectrum allocation scheme. To further exploit potential, we also consider the cases of ordered and non‐ordered FBSs associations and construct the derivations of both the statistical descriptions of association distances and the association probabilities for different scenarios. By using the approximated Poisson hole process theory which is accurate and simple enough, the statistical description of the interference experienced at a typical receiver is given, and the coverage probabilities are also derived. The simulation results achieve that the performance gain from the case of ordered FBSs over the one from the case of non‐ordered FBSs greatly depends on the coverage radii of PBSs and FBSs. Meanwhile, the distributions of both FBSs and UEs also impose the non‐negligible contributions on network performance.

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“…In order to fully utilize the scarce spectrum resources, with the development of cognitive radio technologies [2], attention has been paid to move from the current fixed spectrum allocation to flexible spectrum usage models [3] [4]. Cognitive radio enables much higher spectrum efficiency by dynamic spectrum access.…”

Section: Introductionmentioning

confidence: 99%

Optimal Soft Combination and Cooperative Sensing in Distributed Antenna Systems

Yu¹,

Yu²,

Wang³

2011

2011 IEEE 73rd Vehicular Technology Conference (VTC Spring)

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Cooperative sensing based on energy detection in distributed antenna systems is considered in this letter. We investigate soft combination of the observed energies from different cognitive radio users. Based on the Neyman-Pearson criterion, an optimal soft combination scheme which can maximize the detection probability for the constant false alarm rate is obtained. Closed-form expressions for the detection probability and false alarm rate for the optimal soft combination scheme are derived. Finally, through numerical results the improvement in cooperative sensing schemes with the optimal soft combination is shown.

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Spectrum sharing for next generation wireless communication networks

Cited by 24 publications

References 6 publications

Dynamic spectrum sharing for heterogeneous wireless network via cognitive radio

Dynamic spectrum sharing for heterogeneous wireless network via cognitive radio

Modeling and analyzing multi‐tier massive multiple‐input multiple‐output‐enabled heterogeneous networks with hybrid spectrum allocation for cluster‐center and cluster‐edge users

Optimal Soft Combination and Cooperative Sensing in Distributed Antenna Systems

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